Fahima A. Maghraby

Assessing the impact of layer selection on CAM-based explainability for YOLOv8: a study on hand-sketched digital logic circuits

Abstract Class activation mapping (CAM) techniques improve the interpretability of deep neural networks by highlighting image regions that contribute to model predictions. However, the quality of CAM explanations can vary considerably according to the selected target layer. This...